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      • IoT-base Generic Intelligent Wireless Sensing Platform for Real-time Data Collection and Distribution Data Analysis

        ( Yu-cheng Yang ),( Kai-sheng Tseng ),( Xiang-yu Huang ),( Sheng-hao Chen ),( Joe-air Jiang ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        In this study, a generic intelligent wireless sensing platform with the IoT and wireless transmission technology is established for greenhouse monitoring, which is capable of greenhouse data collection and analysis. The data analyzed by a cloud server would provide important information regarding the efficiency of greenhouse management and cultivation methods. To monitor greenhouse related parameters, an embedded board is placed in a greenhouse as the gateway. Monitoring data and images collected by sensors deployed in the greenhouse are transmitted to the embedded board via an Ethernet or wireless transmission module. The data are eventually sent to a database by wireless AP. The AP connects to the internet by using a 4G USB dongle, which can provide sufficient data transmission speed for real-time data transmission. In wireless hotspots and areas with Wi-Fi, not only can images be transmitted to the cloud, but also can the mobile APP be used to perform remote monitoring, so experimental observations are no longer affected by geographical impacts. Moreover, to ensure the preservation of images and numeric data, the gateway carries a high durability secure digital (SD) memory card to store images and data; if the network encounters some problems, such as unable to connect and a lack of network traffic, the data can be stored in the SD card. Thus, the proposed platform is able to perform heavy information transmission duties and support performing all wireless monitoring tasks. In addition, the analyzed data can be used by agricultural personnel to provide critical cultivation suggestions.

      • An IoT based Temperature Control System for Honey Bee Colony Winter Loss Prevention

        ( Sheng-hao Chen ),( Hung-jen Lin ),( Yu-cheng Yang ),( En-cheng Yang ),( Joe-air Jiang ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        Honey bees are the most important plant pollinators in nature. Currently, about one-third of human food comes from flowering plants. About 80% of the plants need honey bees for pollination. However, extreme weather increases the possibility of honey bees being exposed to the threat of winter losses, as global climate change intensifies. To protect honey bee colonies, in this study, a heating system is proposed to maintain the temperature of a beehive during the winter. The heating system contains a beecounter, a monitoring system built for beehives, to automatically record the data of temperature and relative humidity both inside and outside the beehives and monitor honey bees’ behavior of coming in and going out of the beehives. When the beecounter detects that the temperature inside the beehive is below a certain threshold, the heating system will be activated to increase the temperature of the beehive. And, all environmental parameters and data are transmitted through a Wi-Fi module and sent to a cloud. With the IoT technology, the temperature inside the beehive will be precisely controlled to increase the survival rate of colonies during the winter. Finally, image processing techniques are used to calculate the honey bee eclosion rates to verify the effectiveness of the proposed system, and the results show that the proposed system can successfully maintain the temperature of the beehive and increase the numbers of the bees entering and leaving the beehive.

      • IoT-base Generic Intelligent Wireless Sensing Platform for Real-time Data Collection and Distribution Data Analysis

        ( Yu-cheng Yang ),( Kai-sheng Tseng ),( Xiang-yu Huang ),( Sheng-hao Chen ),( Joe-air Jiang ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        In this study, a generic intelligent wireless sensing platform with the IoT and wireless transmission technology is established for greenhouse monitoring, which is capable of greenhouse data collection and analysis. The data analyzed by a cloud server would provide important information regarding the efficiency of greenhouse management and cultivation methods. To monitor greenhouse related parameters, an embedded board is placed in a greenhouse as the gateway. Monitoring data and images collected by sensors deployed in the greenhouse are transmitted to the embedded board via an Ethernet or wireless transmission module. The data are eventually sent to a database by wireless AP. The AP connects to the internet by using a 4G USB dongle, which can provide sufficient data transmission speed for real-time data transmission. In wireless hotspots and areas with Wi-Fi, not only can images be transmitted to the cloud, but also can the mobile APP be used to perform remote monitoring, so experimental observations are no longer affected by geographical impacts. Moreover, to ensure the preservation of images and numeric data, the gateway carries a high durability secure digital (SD) memory card to store images and data; if the network encounters some problems, such as unable to connect and a lack of network traffic, the data can be stored in the SD card. Thus, the proposed platform is able to perform heavy information transmission duties and support performing all wireless monitoring tasks. In addition, the analyzed data can be used by agricultural personnel to provide critical cultivation suggestions.

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